Usama M. Fayyad, Ramasamy Uthurusamy
Papers from the AAAI Workshop on Knowledge Discovery in Databases. Technical Report WS-94-03
KDD, 1994.
@proceedings{KDD-1994, address = "Seattle, Washington, USA", editor = "Usama M. Fayyad and Ramasamy Uthurusamy", isbn = "0-929280-73-3", publisher = "{AAAI Press}", title = "{Papers from the AAAI Workshop on Knowledge Discovery in Databases. Technical Report WS-94-03}", year = 1994, }
Contents (40 items)
- KDD-1994-BrachmanA #database #information management #process #sketching
- The Process of Knowledge Discovery in Databases: A First Sketch (RJB, TA), pp. 1–12.
- KDD-1994-Gaines #exception #graph
- Exception Dags as Knowledge Structures (BRG), pp. 13–24.
- KDD-1994-Piatetsky-ShapiroM
- The Interingness of Deviations (GPS, CJM), pp. 25–36.
- KDD-1994-SimoudisLK #database #deduction #induction #mining #reasoning
- Integrating Inductive and Deductive Reasoning for Database Mining (ES, BL, RK), pp. 37–48.
- KDD-1994-AmantC #framework #integration #modelling #towards
- Toward the Integration of Exploration and Modeling in a Planning Framework (RSA, PRC), pp. 49–60.
- KDD-1994-BhandariB #data analysis #on the #statistics
- On the Role of Statistical Significance in Exploratory Data Analysis (ISB, SB), pp. 61–72.
- KDD-1994-GregoryC #algorithm #modelling
- Two Algorithms for Inducing Causal Models from Data (DEG, PRC), pp. 73–84.
- KDD-1994-HeckermanGC #learning #network #statistics
- Learning Bayesian Networks: The Combination of Knowledge and Statistical Data (DH, DG, DMC), pp. 85–96.
- KDD-1994-Siebes #database #scalability
- Homogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases (AS), pp. 97–108.
- KDD-1994-SmythBFP #database #image #information management #nondeterminism #scalability
- Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth (PS, MCB, UMF, PP), pp. 109–120.
- KDD-1994-TsumotoT #estimation #probability #recursion
- Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods (ST, HT), pp. 121–132.
- KDD-1994-ChuC #abstraction #concept #database
- Abstraction of High Level Concepts from Numerical Values in Databases (WWC, KC), pp. 133–144.
- KDD-1994-GuyonMV
- Discovering Informative Patterns and Data Cleaning (IG, NM, VV), pp. 145–156.
- KDD-1994-HanF #concept #database #generative #information management #refinement
- Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases (JH, YF), pp. 157–168.
- KDD-1994-HolderCD
- Substucture Discovery in the SUBDUE System (LBH, DJC, SD), pp. 169–180.
- KDD-1994-MannilaTV #algorithm #performance
- Efficient Algorithms for Discovering Association Rules (HM, HT, AIV), pp. 181–192.
- KDD-1994-TroxelSZZ #concept
- From Law-Like Knowledge to Concept Hierarchies in Data (MT, KS, RZ, JMZ), pp. 193–204.
- KDD-1994-Tsukimoto #logic
- The Discovery of Logical Propositions in Numerical Data (HT), pp. 205–216.
- KDD-1994-HolsheimerK #architecture #data mining #mining
- Architectural Support for Data Mining (MH, MLK), pp. 217–228.
- KDD-1994-ImamM #overview
- From Facts to Rules to Decisions: An Overview of the FRD-1 System (IFI, RSM), pp. 229–236.
- KDD-1994-Kiselev #functional #named #source code
- PolyAnalyst — A Machine Discovery System Inferring Functional Programs (MVK), pp. 237–250.
- KDD-1994-Klosgen #simulation
- Exploration of Simulation Experiments by Discovery (WK), pp. 251–262.
- KDD-1994-LaerDR #logic
- Applications of a Logical Discovery Engine (WVL, LD, LDR), pp. 263–274.
- KDD-1994-ZuckerCTR #bias #induction #named
- DICE: A Discovery Environment Integrating Inductive Bias (JDZ, VC, JT, GR), pp. 275–286.
- KDD-1994-AnandBH #architecture #database #mining #optimisation #preprocessor #query #semantics
- Database Mining in the Architecture of a Semantic Preprocessor for State Aware Query Optimization (SSA, DAB, JGH), pp. 287–298.
- KDD-1994-ChiangBS #database #information management #relational #semantics
- Extracting Domain Semantics for Knowledge Discovery in Relational Databases (RHLC, TMB, VCS), pp. 299–310.
- KDD-1994-HsuK #induction #optimisation #query #semantics
- Rule Induction for Semantic Query Optimization (CNH, CAK), pp. 311–322.
- KDD-1994-HuCX #database #learning
- Learning Data Trend Regularities From Databases in a Dynamic Environment (XH, NC, JX), pp. 323–334.
- KDD-1994-ShenMOZ #database #deduction #induction #learning #using
- Using Metagueries to Integrate Inductive Learning and Deductive Database Technology (WMS, BGM, KO, CZ), pp. 335–346.
- KDD-1994-AronisP #induction #machine learning #relational
- Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning (JMA, FJP), pp. 347–358.
- KDD-1994-BerndtC #using
- Using Dynamic Time Warping to Find Patterns in Time Series (DJB, JC), pp. 359–370.
- KDD-1994-Furnkranz #comparison #concept #learning #relational
- A Comparison of Pruning Methods for Relational Concept Learning (JF), pp. 371–382.
- KDD-1994-HammondBS #approach #navigation
- A Case-Based Approach to Knowledge Navigation (KJH, RDB, KS), pp. 383–394.
- KDD-1994-MonkMSH #comparison #geometry #set
- Geometric Comparison of Clarifications and Rule Sets (TJM, RSM, LAS, GH), pp. 395–406.
- KDD-1994-ApteH #generative #predict
- Predicting Equity Returns from Securities Data with Minimal Rule Generation (CA, SJH), pp. 407–418.
- KDD-1994-DruzdzeG #case study #student
- Application of the TETRAD II Program to the Study of Student Retention in U.S. Colleges (MJD, CG), pp. 419–430.
- KDD-1994-Kaufman #development #learning #multi #tool support #using
- Comparing International Development Patterns Using Multi-Operator Learning and Discovery Tools (KAK), pp. 431–440.
- KDD-1994-MatheusPM #analysis
- An Application of KEFM to the Analysis of Healthcare Information (CJM, GPS, DM), pp. 441–452.
- KDD-1994-SasisekharanSW #machine learning #maintenance #network #using
- Proactive Network Maintenance Using Machine Learning (RS, VS, SMW), pp. 453–462.
- KDD-1994-KlosgenZ
- Machine Discovery Terminology (WK, JMZ), p. 463–?.
10 ×#database
5 ×#induction
5 ×#learning
4 ×#concept
4 ×#information management
4 ×#using
3 ×#mining
3 ×#relational
3 ×#semantics
2 ×#algorithm
5 ×#induction
5 ×#learning
4 ×#concept
4 ×#information management
4 ×#using
3 ×#mining
3 ×#relational
3 ×#semantics
2 ×#algorithm